High-order tensor completion via gradient-based optimization under tensor train format

Tensor train (TT) decomposition has drawn people’s attention due to its powerful representation ability and performance stability in high-order tensors. In this paper, we propose a novel approach to recover the missing entries of incomplete data represented by higher-order tensors. We attempt to fin...

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Veröffentlicht in:	Signal processing. Image communication 2019-04, Vol.73, p.53-61
Hauptverfasser:	Yuan, Longhao, Zhao, Qibin, Gui, Lihua, Cao, Jianting
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Decomposition Gradient-based optimization Higher-order tensorization Mathematical analysis Optimization Tensor completion Tensor train decomposition Tensors Visual data recovery
Online-Zugang:	Volltext
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